Evidence map›Paper›PMID 29385091›Full record

ArticleMolecules (Basel, Switzerland)2018

Exploring Alternative Radiolabeling Strategies for Sialic Acid-Binding Immunoglobulin-Like Lectin 9 Peptide: [

Olli Moisio, Riikka Siitonen, Heidi Liljenbäck, Elli Suomela, Sirpa Jalkanen, Xiang-Guo Li, Anne Roivainen

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Olli MoisioTurku PET Centre, University of Turku, FI-20521 Turku, Finland. oamois@utu.fi.
Riikka SiitonenTurku PET Centre, University of Turku, FI-20521 Turku, Finland. ralsii@utu.fi.
Heidi LiljenbäckTurku PET Centre, University of Turku, FI-20521 Turku, Finland. halilj@utu.fi.
Elli SuomelaTurku PET Centre, University of Turku, FI-20521 Turku, Finland. elli.a.suomela@utu.fi.
Sirpa JalkanenMediCity Research Laboratory, University of Turku, FI-20520 Turku, Finland. sirjal@utu.fi.
Xiang-Guo LiTurku PET Centre, University of Turku, FI-20521 Turku, Finland. xiali@utu.fi.ORCID 0000-0002-9118-7223
Anne RoivainenTurku PET Centre, University of Turku, FI-20521 Turku, Finland. anne.roivainen@utu.fi.ORCID 0000-0002-4006-7977
University of Turku · FIÅbo Akademi University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amino acid residues 283-297 from sialic acid-binding immunoglobulin-like lectin 9 (Siglec-9) form a cyclic peptide ligand targeting vascular adhesion protein-1 (VAP-1). VAP-1 is associated with the transfer of leukocytes from blood to tissues upon inflammation. Therefore, analogs of Siglec-9 peptide are good candidates for visualizing inflammation non-invasively using positron emission tomography (PET). Gallium-68-labeled 1,4,7,10-tetraazacyclododecane-

Indexed as

Antigens, CDFluorine RadioisotopesGallium IsotopesHeterocyclic CompoundsSialic Acid Binding Immunoglobulin-like LectinsAnimalsHeterocyclic Compounds, 1-RingIsotope LabelingPositron-Emission TomographyRatsRats, Sprague-Dawley1,4,7-triazacyclononane-N,N',N''-triacetic acidAntigens, CDFluorine-18Fluorine RadioisotopesGallium IsotopesHeterocyclic CompoundsHeterocyclic Compounds, 1-RingSialic Acid Binding Immunoglobulin-like LectinsSIGLEC9 protein, humanaluminum fluoridefluorine-18gallium-68inflammationpositron emission tomographySiglec-9VAP-1

Identifiers

PMID29385091
PMCPMC6017478
OpenAlexW2790563263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.